Browse our jobs and apply for your next role.
The right candidate is just a few clicks away.
PageGroup changes lives for people through creating opportunity to reach potential.
If you have any questions, we’re here to help.
Job Requirements Education* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience*3 - 4 years for Data Scientist* Relevant working experience in a data science/advanced analytics role Behavioural Skills*Delivery Excellence*Business disposition*Social intelligence*Innovation and agility Knowledge* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)*Statistical modelling using Analytical tools (R, Python, KNIME, etc.)*Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)*Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.*Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)*Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)*Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools*Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)* Microsoft Office applications (MS Excel, etc.)
Location- Gurgaon
Job RequirementsEducation* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience* 5 - 7 years for Data Scientist* Relevant working experience in a data science/advanced analytics roleBehavioural Skills* Delivery Excellence* Business disposition* Social intelligence* Innovation and agilityExperience* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)* Microsoft Office applications (MS Excel, etc.)Roles & ResponsibilitiesAnalytics & Strategy1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
To drive full funnel growth and 10X scale through Performance and Channel marketing, backed by deep analytics and conversion optimization. To own end to end budget strategy to maximize ROI and accelerate business impact
The role is responsible for strategizing, designing, and executing digital onboarding solutions for partners and distributors, ensuring timely delivery of scalable tech functionalities aligned with business goals. The role demands strong leadership in agile project management, stakeholder collaboration, and digital product ownership within the financial services ecosystem.
We are seeking a Associate Director - Performance Marketing to lead and scale user acquisition across digital channels for a fast-growing gaming and entertainment platform. The role demands managing large marketing budgets, optimising paid campaigns, and driving data-led growth in collaboration with cross-functional teams.
The Director Marketing will lead strategic marketing initiatives within the FMCG sector, focusing on brand development, market expansion, and consumer engagement.
We are seeking a Growth & Marketing Lead to drive innovative marketing strategies and achieve business growth in the D2C industry. This role is based in Delhi NCR and requires expertise in internet marketing and brand management.
Create Job alert to receive Marketing Analytics jobs via email the minute they become available
Submit your CV to register with us and we will contact you if a suitable role becomes available.
